Dictionary learning in Fourier-transform scanning tunneling spectroscopy

Sky C. Cheung; John Y. Shin; Yenson Lau; Zhengyu Chen; Ju Sun; Yuqian Zhang; Marvin A. Müller; Ilya M. Eremin; John N. Wright; Abhay N. Pasupathy

doi:10.1038/s41467-020-14633-1

Nature Communications (Feb 2020)

Dictionary learning in Fourier-transform scanning tunneling spectroscopy

Sky C. Cheung,
John Y. Shin,
Yenson Lau,
Zhengyu Chen,
Ju Sun,
Yuqian Zhang,
Marvin A. Müller,
Ilya M. Eremin,
John N. Wright,
Abhay N. Pasupathy

Affiliations

Sky C. Cheung: Department of Physics, Columbia University
John Y. Shin: Department of Physics, Columbia University
Yenson Lau: Department of Electrical Engineering, Columbia University
Zhengyu Chen: Department of Electrical Engineering, Columbia University
Ju Sun: Department of Electrical Engineering, Columbia University
Yuqian Zhang: Department of Electrical Engineering, Columbia University
Marvin A. Müller: Institut für Theoretische Physik III, Ruhr-Universität Bochum
Ilya M. Eremin: Institut für Theoretische Physik III, Ruhr-Universität Bochum
John N. Wright: Department of Electrical Engineering, Columbia University
Abhay N. Pasupathy: Department of Physics, Columbia University

DOI: https://doi.org/10.1038/s41467-020-14633-1
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 11

Abstract

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Aperiodic structure imaging suffers limitations when utilizing Fourier analysis. The authors report an algorithm that quantitatively overcomes these limitations based on nonconvex optimization, demonstrated by studying aperiodic structures via the phase sensitive interference in STM images.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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